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Piranha (software)

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Piranha is a text mining system developed for the United States Department of Energy (DOE) by Oak Ridge National Laboratory (ORNL). The software processes large volumes of unrelated free-text documents and shows relationships amongst them, a technique valuable across numerous scientific and data domains, from health care fraud to national security. The results are presented in clusters of prioritized relevance to business and government analysts. Piranha uses the term frequency/inverse corpus frequency term weighting method which provides strong parallel processing of textual information, thus the ability to analyze very large document sets. Piranha has six main strengths: Collecting and Extracting: Millions of documents from numerous sources such as databases and social media can be collected and text extracted from hundreds of file formats; This info. can then be translated to any number of languages. Storing and indexing: Documents in search servers, relational databases, etc. can be stored and indexed at will. Recommending: Recommending the most valuable information for particular users. Categorizing: Grouping items via supervised and semi-supervised machine learning methods and targeted search lists. Clustering: Similarity is used to create a hierarchical group of documents. Visualizing: Showing relationships among documents so that users can quickly recognize connections.

This work has resulted in eight issued ( 9,256,649, 8,825,710, 8,473,314, 7,937,389, 7,805,446, 7,693,9037, 7,315,858, 7,072,883), and several commercial licenses (including TextOre and Pro2Serve), a spin-off company with the inventors, Covenant Health, and Pro2Serve called VortexT Analytics, two R&D 100 Awards, and scores of peer reviewed research publications.

References

  • Cui, X., Beaver, J., St. Charles, J., Potok, T. (September 2008). Proceedings of the IEEE Swarm Intelligence Symposium, St. Louis, Mo. Dimensionality Reduction for High Dimensional Particle Swarm Clustering.
  • Yasin, Rutrell (Nov 29, 2012) GCN. Energy lab's Piranha puts teeth into text analysis
  • Franklin Jr., Curtis (Nov 30, 2012) Enterprise Efficiency. Piranha Brings Affordable Big-Data to Government
  • Breeden II, John (Dec 7, 2012) GCN. Swimming with Piranha: Testing Oak Ridge's text analysis tool
  • Kirby, Bob (Summer 2013) FedTech. Big Data Can Help the Federal Government Move Mountains. Here's How.
  • R. M. Patton, B. G. Beckerman, T. E. Potok, G. Tourassi, "A Recommender System for Web-Based Discovery and Refinement of Information Radiologists Seek", Radiological Society of North America (RSNA), 2012 Annual Meeting, Nov. 2012, Chicago, IL, USA.
  • R. M. Patton, T. E. Potok, B. A. Worley, "Discovery & Refinement of Scientific Information via a Recommender System", The Second International Conference on Advanced Communications and Computation, Oct. 2012, Venice, Italy.
  • J. W. Reed, T. E. Potok, and R. M. Patton, "A multi-agent system for distributed cluster analysis," in Proceedings of Third International Workshop on Software Engineering for Large-Scale Multi- Agent Systems (SELMAS'04)" W16L Workshop - 26th International Conference on Software Engineering Edinburgh, Scotland, UK: IEE, 2004, pp. 152-5.
  • J. Reed, Y. Jiao, T. E. Potok, B. Klump, M. Elmore, and A. R. Hurson, "TF-ICF: A New Term Weighting Scheme for Clustering Dynamic Data Streams," in Proceedings of 5th International Conference on Machine Learning and Applications (ICMLA'06). vol. 0 ORLANDO, FL, 2006, pp. 258–263.

Awards

Patents

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